- Geotechnical Engineering - an overview | ScienceDirect Topics
Geotechnical engineering plays a key role in all civil engineering projects, since all construction is built on or in the ground In addition it forms an important part of extractive industries, such as open cast and underground mining and hydrocarbon extraction, and is essential in evaluating natural hazards such as earthquakes and landslides
- GeoLLM: A specialized large language model framework for intelligent . . .
This study develops a novel and specialized LLM framework (GeoLLM) for geotechnical design The innovations of GeoLLM involve a hybrid prompt engineering strategy to facilitate LLMs in understanding and extracting the professional geotechnical knowledge, and a mathematical toolset module designed for accurate calculations
- Geotechnical Research | Journal | ScienceDirect. com by Elsevier
Read the latest articles of Geotechnical Research at ScienceDirect com, Elsevier’s leading platform of peer-reviewed scholarly literature
- Large language model-empowered paradigm for automated geotechnical site . . .
For example, LLM-based retrieval of geotechnical information from a target documentation still exhibits limited consistency and robustness across different trials [40], let alone multiple documents This can lead to disastrous consequences for engineering design and analysis
- The Use of Geographic Information System (GIS) for Geotechnical Data . . .
Geotechnical information acquired from site and laboratory tests are vital for a safe and economical design of building and infrastructure works espec…
- Geotechnical and slope stability analysis in the landslide-prone area . . .
Geotechnical characterization was performed on twelve soil samples collected from three chosen slope sections This helped to identify and classify the soils that form the slope The laboratory tests focused on determining index properties, such as water content, specific gravity, unit weight grain size analysis, and Atterberg limits
- Leveraging physics-informed neural networks in geotechnical earthquake . . .
The primary objective of this study is to explore the potential of physics-informed neural networks (PINNs) as a novel alternative for seismic site response analysis, a common problem in geotechnical earthquake engineering (GEE) While PINNs, as advanced deep learning models, have shown promising applications in various fields such as fluid mechanics, physics, and thermodynamics, their
- Canadian Geotechnical Journal | ScienceDirect. com by Elsevier
Canadian Geotechnical Journal features work related to new developments in geotechnical and geoenvironmental engineering and applied sciences The topics of papers include soil and rock mechanics, material properties and fundamental behaviour, site characterization, foundations, excavations, tunnels, dams and embankments, slopes, landslides, geological and rock engineering, ground improvement
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